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| Template Creation Time (s): 1 ± 2 |
| Search Time (s): 28 ± 2 |
| FNIR (@ FPIR=0.01): 0.0030 ± 0.0004    (± 90% confidence) |
| FNIR (@ FPIR=0.001): 0.0034 ± 0.0004    (± 90% confidence) |
| Miss Rate @ Rank 1: 0.0030 |
| Miss Rate @ Rank 10: 0.0028 |
| Miss Rate @ Rank 100: 0.0026 |
| Failure to Enroll (FTE) Rate: 0.000006 |
| Dataset: | Operational Dataset 4th pull (stats on OPS4 images) |
| Samples used: | Both eyes |
| Enrolled Population: | 500K people |
| Enrollment Method: | Both (left and right) iris images per enrollment template |
| FNIR (@ FPIR=0.01): 0.0143 ± 0.0006    (± 90% confidence) |
| FNIR (@ FPIR=0.001): 0.0154 ± 0.0006    (± 90% confidence) |
| Miss Rate @ Rank 1: 0.0138 |
| Miss Rate @ Rank 10: 0.0132 |
| Miss Rate @ Rank 100: 0.0126 |
| Failure to Enroll (FTE) Rate: 0.000003 |
| Dataset: | Operational Dataset 4th pull (stats on OPS4 images) |
| Samples used: | One eye |
| Enrolled Population: | 1M irides (500K people) |
| Enrollment Method: | One iris image per enrollment template |
Core accuracy for the identification task can be characterized by Detection-error trade-off (DET) plots. Generally, curves lower down in a DET plot correspond to more accurate matchers. The plots are interactive through the use of the Plotly.js graphing library.
Two-eye Accuracy
| Dataset: | Operational Dataset 4th pull (stats on OPS4 images) |
| Samples used: | Both eyes |
| Enrolled Population: | 500K people |
| Enrollment Method: | Both (left and right) iris images per enrollment template |
Single Eye Accuracy
| Dataset: | Operational Dataset 4th pull (stats on OPS4 images) |
| Samples used: | One eye |
| Enrolled Population: | 1M irides (500K people) |
| Enrollment Method: | One iris image per enrollment template |
Two-eye Accuracy
| Dataset: | Operational Dataset 4th pull (stats on OPS4 images) |
| Samples used: | Both eyes |
| Enrolled Population: | 500K people |
| Enrollment Method: | Both (left and right) iris images per enrollment template |
Single-eye Accuracy
| Dataset: | Operational Dataset 4th pull (stats on OPS4 images) |
| Samples used: | One eye |
| Enrolled Population: | 1M irides (500K people) |
| Enrollment Method: | One iris image per enrollment template |